Mix-GEMM: An efficient HW-SW Architecture for Mixed-Precision Quantized Deep Neural Networks Inference on Edge Devices
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Mix-GEMM: An efficient HW-SW Architecture for Mixed-Precision Quantized Deep Neural Networks Inference on Edge Devices is a scholarly article[1].
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Mix-GEMM: An efficient HW-SW Architecture for Mixed-Precision Quantized Deep Neural Networks Inference on Edge Devices's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Mix-GEMM: An efficient HW-SW Architecture for Mixed-Precision Quantized Deep Neural Networks Inference on Edge Devices. Retrieved May 24, 2026, from https://4ort.xyz/entity/mix-gemm-an-efficient-hw-sw-architecture-for-mixed-precision-quantized-deep-neural-networks-inference-on-edge-devices
MLA“Mix-GEMM: An efficient HW-SW Architecture for Mixed-Precision Quantized Deep Neural Networks Inference on Edge Devices.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mix-gemm-an-efficient-hw-sw-architecture-for-mixed-precision-quantized-deep-neural-networks-inference-on-edge-devices.
BibTeX@misc{4ortxyz_mix-gemm-an-efficient-hw-sw-architecture-for-mixed-precision-quantized-deep-neural-networks-inference-on-edge-devices_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Mix-GEMM: An efficient HW-SW Architecture for Mixed-Precision Quantized Deep Neural Networks Inference on Edge Devices}}, year = {2026}, url = {https://4ort.xyz/entity/mix-gemm-an-efficient-hw-sw-architecture-for-mixed-precision-quantized-deep-neural-networks-inference-on-edge-devices}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Mix-GEMM: An efficient HW-SW Architecture for Mixed-Precision Quantized Deep Neural Networks Inference on Edge Devices — https://4ort.xyz/entity/mix-gemm-an-efficient-hw-sw-architecture-for-mixed-precision-quantized-deep-neural-networks-inference-on-edge-devices (retrieved 2026-05-24)
